Synthesis with heat integration

Morari, M., and Faith, D. C., The Synthesis of Distillation Trains with Heat Integration, AlChEJ, 26 916, 1980. 

M. Morari and C. D. Faith. The synthesis of distillation trains with heat integration. AlChE... 

A. Sophos, G. Stephanopoulos, and M. Morari. Synthesis of optimum distillation sequences with heat integration schemes, paper 42d 71st Annual AIChE Meeting, Miami, FL, 1978. 

Synthesis is the step in design where one conjectures the building blocks and their interconnection to create a structure which can meet stated design requirements. This review paper first defines chemical process synthesis and indicates the nature of the research problems—to find representations, evaluation functions and search strategies for a potentially nearly infinite problem. It then discusses synthesis research and the most significant results in each of six areas—heat exchanger networks, separation systems, separation systems with heat integration, reaction paths, total flowsheets and control systems. 

Sophos, A., Stephanopoulos, G. and Morari, M., "Synthesis of Optimum Distillation Sequences with Heat Integration Schemes," National AlChE Meeting, Miami, FL., November 1978. 

In this subsection we describe heat pumps, multieffect distillation of binary mixtures, synthesis of multicomponent distillation systems with heat integration, and multieffect distillation for thermally coupled configurations. 

The integration of microwave heating and fluorous technologies has generated a powerful solution to address both the reaction and separation issues in parallel and combinatorial synthesis. With the further development of multimode microwave reactors for plate reactions and F-SPE for plate-to-plate separations, microwave-assisted fluorous synthesis will play an even more important role in compound library synthesis. 

The solution of the nonlinear optimization problem (PIO) gives us a lower bound on the objective function for the flowsheet. However, the cross-flow model may not be sufficient for the network, and we need to check for reactor extensions that improve our objective function beyond those available from the cross-flow reactor. We have already considered nonisothermal systems in the previous section. However, for simultaneous reactor energy synthesis, the dimensionality of the problem increases with each iteration of the algorithm in Fig. 8 because the heat effects in the reactor affect the heat integration of the process streams. Here, we check for CSTR extensions from the convex hull of the cross-flow reactor model, in much the same spirit as the illustration in Fig. 5, except that all the flowsheet constraints are included in each iteration. A CSTR extension to the convex hull of the cross-flow reactor constitutes the addition of the following terms to (PIO) in order to maximize (2) instead of [Pg.279]

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